Foundations of Quantization for Probability Distributions is popular PDF and ePub book, written by Siegfried Graf in 2007-05-06, it is a fantastic choice for those who relish reading online the Mathematics genre. Let's immerse ourselves in this engaging Mathematics book by exploring the summary and details provided below. Remember, Foundations of Quantization for Probability Distributions can be Read Online from any device for your convenience.
Foundations of Quantization for Probability Distributions Book PDF Summary
Due to the rapidly increasing need for methods of data compression, quantization has become a flourishing field in signal and image processing and information theory. The same techniques are also used in statistics (cluster analysis), pattern recognition, and operations research (optimal location of service centers). The book gives the first mathematically rigorous account of the fundamental theory underlying these applications. The emphasis is on the asymptotics of quantization errors for absolutely continuous and special classes of singular probabilities (surface measures, self-similar measures) presenting some new results for the first time. Written for researchers and graduate students in probability theory the monograph is of potential interest to all people working in the disciplines mentioned above.
Detail Book of Foundations of Quantization for Probability Distributions PDF
- Author : Siegfried Graf
- Release : 06 May 2007
- Publisher : Springer
- ISBN : 9783540455776
- Genre : Mathematics
- Total Page : 238 pages
- Language : English
- PDF File Size : 7,9 Mb
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